Noninvasive bioluminescence imaging of c-fos expression in the mouse barrel cortex.

Expression of immediate early genes, such as c-fos, has been extensively used as a marker of neural activity. However, their expression in the brain has so far been examined by using invasive procedures. In this study, we tried to image c-fos expression in the mouse barrel cortex noninvasively by detecting bioluminescence produced by the reporter luciferase. To detect asymmetry in c-fos expression in the bilateral barrel cortices, we used ten Fos-Luc mice and removed long whiskers on one side. After 1h of exploration in a novel cage, luciferin was intraperitoneally administrated under gas anesthesia and bioluminescence was measured with a cooled CCD camera. We observed moderate but clear emission over the head that was significantly stronger on the side of removal. After regrowth of the whiskers, the same mice had the vibrissae clipped on the other side. Bioluminescence was again dominant on the side of removal. In three of the mice, c-fos expression was examined immunohistochemically. The distribution of bioluminescence generally agreed with that of the c-fos positive cells though the bioluminescence tended to distribute wider, by around 0.5mm, probably due to scattering of light through the tissues. The results show that expression of c-fos in the mouse barrel cortex can be imaged repeatedly and noninvasively in the living animal.

Visualization of Documents and Concepts in Neuroinformatics with the 3D-SE Viewer.

A new interactive visualization tool is proposed for mining text data from various fields of neuroscience. Applications to several text datasets are presented to demonstrate the capability of the proposed interactive tool to visualize complex relationships between pairs of lexical entities (with some semantic contents) such as terms, keywords, posters, or papers' abstracts. Implemented as a Java applet, this tool is based on the spherical embedding (SE) algorithm, which was designed for the visualization of bipartite graphs. Items such as words and documents are linked on the basis of occurrence relationships, which can be represented in a bipartite graph. These items are visualized by embedding the vertices of the bipartite graph on spheres in a three-dimensional (3-D) space. The main advantage of the proposed visualization tool is that 3-D layouts can convey more information than planar or linear displays of items or graphs. Different kinds of information extracted from texts, such as keywords, indexing terms, or topics are visualized, allowing interactive browsing of various fields of research featured by keywords, topics, or research teams. A typical use of the 3D-SE viewer is quick browsing of topics displayed on a sphere, then selecting one or several item(s) displays links to related terms on another sphere representing, e.g., documents or abstracts, and provides direct online access to the document source in a database, such as the Visiome Platform or the SfN Annual Meeting. Developed as a Java applet, it operates as a tool on top of existing resources.